Satellite-based shoreline detection: macrotidal high-energy coasts dataset

This dataset accompanies the article by Konstantinou et al. (2022) titled ‘Satellite-based shoreline detection: macrotidal high-energy coasts’. This study assesses the ability of existing satellite image analysis technology to capture shoreline position change at relevant magnitudes and timescales for two different coastal environments in the United Kingdom. It addresses the influence of tidal elevation and wave-induced water-level fluctuations at two sites representing end members of beach morphological type in a region of low satellite useability (high cloud cover combined with low image availability). The study uses 14 years of monthly topographic surveys at two macrotidal sites in the UK, combined with modelled wave data and harmonic tidal predictions to investigate the influence of tidal elevation and wave action on SDS accuracy. Description The dataset consists of two matlab files each containing the information listed below for the two test sites (Slapton Sands (SLSdata); Perranporth (PPTdata)): dnum: date of satellite image capture in matlab datenum format sat: name of satellite (L5=Landsat 5; L7=Landsat 7; L8=Landsat 8; S2=Sentinel-2) transects: a structure containing the following variables: profName – the name of the survey profile startEast; startNorth; endEast; endNorth: OSGB coordinates of the start (landward) and end (seaward) of the transect line startUTMlat; startUTMlon; endUTMlat; endUTMlon: WGS84-UTM30 coordinates of the start (landward) and end (seaward) of the transect line orientation: profile orientation shoreOrient: shoreline orientation transAngle: profile angle to shore-normal. transTimeSeries: time series of the intersection of the SDW at each transect in three columns that include chainage (m), longitude, latitude. profData: a nested structure containing the survey data at organised by profile including survey date, OSGB and WGS84-UTM30 coordinates of surveyed points.